Abstract: Apparatus and methods for detecting a brain disorder in a subject include a display device and an eye tracker operatively connected to a processor, wherein the display device displays visual scenes to the subject according to at least one viewing task. The eye tracker tracks at least one of the subject's eyes while the subject performs the viewing task, and outputs eye tracking data. The 5 processor extracts data for one or more selected feature, and analyzes the data for the one or more selected feature using a classifier to determine one or more condition, validates the determined condition through comparisons to meta-data and the true condition if available, and generates an output based on the determined condition for the selected feature: wherein the output indicates the likelihood of the subject having a brain disorder.

Abstract: This invention provides methods, system, and apparatus for assessing and/or diagnosing a neurobehavioural disorder in a subject. The methods, systems, and apparatus include the subject freely observing a visual scene, without having to carry out a task or follow specific instructions. In one embodiment, a computational model is used to select one or more feature in a visual scene and generate a spatial map having first map values that are predictive of eye movement end points of a hypothetical observer relative to the one or more feature. A subject's eye movements are recorded while the subject freely observes the visual scene, and a difference between second map values that correspond to the subject's eye movement endpoints and a set of map values selected randomly from the first map values is quantified, wherein the difference is indicative of a neurobehavioural disorder in the subject.

Abstract: This invention provides methods, system, and apparatus for assessing and/or diagnosing a neurobehavioural disorder in a subject. The methods, systems, and apparatus include the subject freely observing a visual scene, without having to carry out a task or follow specific instructions. In one embodiment, a computational model is used to select one or more feature in a visual scene and generate a spatial map having first map values that are predictive of eye movement end points of a hypothetical observer relative to the one or more feature. A subject's eye movements are recorded while the subject freely observes the visual scene, and a difference between second map values that correspond to the subject's eye movement endpoints and a set of map values selected randomly from the first map values is quantified, wherein the difference is indicative of a neurobehavioural disorder in the subject.

Abstract: An apparatus for diagnosing or treating a neurological disorder, usually associated with a lack of attentiveness, in a subject by detecting the subject's eye movement. The apparatus includes a helmet for blocking visual stimuli from the subject's visual field; at least three visual cues disposed inside the helmet within the visual field of the subject when the helmet is placed on the subject's head, the visual cues capable of being switched from on to off states; at least two electrodes for attaching to the subject's face, the electrodes producing electrical signals corresponding to the subject's eye movements; signal processing means for controlling on and off states of the visual cues, receiving and processing electrical signals produced by the electrodes, and producing output signals corresponding to the subject's eye movements; and means for displaying output signals produced by the signal processing means.